this post was submitted on 07 Sep 2024
131 points (100.0% liked)

TechTakes

1401 readers
122 users here now

Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.

This is not debate club. Unless it’s amusing debate.

For actually-good tech, you want our NotAwfulTech community

founded 1 year ago
MODERATORS
dgerard@awful.systems
131
The air begins to leak out of the overinflated AI bubble (www.latimes.com)
submitted 2 months ago by db0@lemmy.dbzer0.com to c/techtakes@awful.systems
12 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] mountainriver@awful.systems 17 points 2 months ago* (last edited 2 months ago) (5 children)

I have so far seen two working AI applications that actually makes sense, both in a hospital setting:

  1. Assisting oncologists in reading cancer images. Still the oncologists that makes the call, but it seems to be of use to them.
  2. Creating a first draft when transcribing dictated notes. Listening and correcting is apparently faster for most people than listening and writing from scratch.

These two are nifty, but it doesn't make a multi billion dollar industry.

In other words the bubble is bursting and the value / waste ratio looks extremely low.

Say what you want about the Tulip bubble, but at least tulips are pretty.

[–] dgerard@awful.systems 17 points 2 months ago (2 children)

This is why you should never allow the use of the marketing term "AI", and instead always refer to the specific technologies.

The use case for the term "AI" is to conflate things that work (ML) with things that don't work (LLMs).

[–] mountainriver@awful.systems 4 points 2 months ago (1 children)

Ok, point on language.

But I thought LLMs were machine learning, or rather a particular application of it? Have I misunderstood that? Isn't it all black boxed matrixes of statistical connections?

[–] dgerard@awful.systems 2 points 2 months ago

they're related in that sense, but what they learn is which token to generate next.

load more comments (2 replies)